Ying (Gina) Tang, Ph.D.

Ying (Gina) Tang, Ph.D.

Ying (Gina) Tang, Ph.D.
Professor and Undergraduate Program Coordinator

Ying (Gina) Tang, Ph.D.
Electrical & Computer Engineering

Contact Info
(856) 256-5339
Engineering Hall 331

Biography

Website: http://users.rowan.edu/~tang/

Education:
BS - Electrical Engineering (Northeastern University)
MS - Computer Engineering (Northeastern University)
Ph.D. - Electrical Engineering (New Jersey Institute of Technology)

Research Expertise:
Virtual/Augmented Reality; Blockchain; Green Manufacturing and Service Automation; Discrete Event Systems and Visualization;

Dr. Tang’s research focuses on the design, control and optimization of discrete event systems with respect to their complexity, uncertainty, security and performance via mathematical modeling, statistical analysis, and computational visualization.    Her most recent projects include Sensor-informatics-and-AI-based Personalized Instruction and Need-aware Gaming System, Intelligent Energy-aware Manufacturing System, and AI+Blockchain-Enpowered Parallel Education System

Honors and Awards:
Use of Spatially Structured Light for Dynamic Three Dimensional Reconstruction and Reality Augmentation, Patent Number 9,626,568, U.S.A                                            

Professional Memberships:
IEEE Senior Member, Systems, Man, & Cybernetics Society, and Robotics and Automation Society   

Recent Publications:
Lingling Li, Congbo Li, Ying Tang, Li Li, Xingzheng Chen, “An Integrated Solution to the Energy Consumption of a Resource-constrained Machining System,” IEEE Transactions on Automation Science and Engineering. DOI: 10.1.1109/TASE.2019.295058.

Qinge Xiao, Congbo Li, Ying Tang, and Li Li, Meta-Reinforcement Learning of Machining Parameters for Energy-Efficient Process Control of Flexible Turning Operations,” IEEE Transactions on Automation Science and Engineering, pp. 1-14, 2019.

Qinge Xiao, Congbo Li, Ying Tang, Jian Pan, Jun Yu, and Xingzheng Chen, “Multi-component energy modeling and optimization for sustainable dry gear hobbing,”  Energy, 187, pp. 1-16, 2019.

Li, L., Li, C., Tang, Y., and Yang, Q., “An integrated approach for remanufacturing job shop scheduling with routing alternatives,” Mathematical Biosciences and Engineering, Vol 16, No. 4, pp. 2063-2085, 2019. (SCI: 000465435500019)

Wang, F-Y, Tang, Y., Liu, X., Yuan, Y., “Social Education: Opportunities and Challenges in Cyber-Physical-Social Space,” IEEE Transactions on Computational Social Systems, Vol. 6, No. 2, PP. 191-196, 2019. (SCI: 000463475000001)